Abstract
Healthcare innovations open new treatment possibilities for patients and offer potentials to increase their life quality. But it is also possible that a new product will have negative influences on patient’s life quality, if it has not been checked before. To prevent latter cases three already established methods can be used in order to assess healthcare technologies and to inform regulatory agencies. But these tools share a common problem. They can only be applied when a product is already developed and high costs have been already produced. This work describes Prospective Health Technology Assessment. This approach uses hybrid simulation techniques in order to learn about the impacts of a new innovation before a product has been developed. System Dynamics is used to perform high-level simulation and Agent-Based Simulation allows to model individual behavior of persons.
On behalf of the ProHTA Research Group.
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References
Amt fĂ¼r Statistik Berlin-Brandenburg: Die kleine Berlin-Statistik (2011)
Baumgärtel, P., Lenz, R.: Towards data and data quality management for large scale healthcare simulations. In: Conchon, E., Correia, C., Fred, A., Gamboa, H. (eds.) Proceedings of the International Conference on Health Informatics, pp. 275–280. SciTePress - Science and Technology Publications (2012) ISBN: 978-989-8425-88-1
Brailsford, S.C.: System Dynamics: What’s in it for Healthcare Simulation Modelers. In: Proceedings of the 2008 Winter Simulation Conference, pp. 1478–1483 (2008)
Brailsford, S.C., Desai, S.M., Viana, J.: Towards the holy grail: Combining system dynamics and discrete-event simulation in healthcare. In: Proceedings of the 2010 Winter Simulation Conference, pp. 2293–2303 (2010)
Chahal, K., Eldabi, T.: Applicability of hybrid simulation to different modes of governance in UK healthcare. In: Proceedings of the 2008 Winter Simulation Conference, pp. 1469–1477 (2008)
Ebinger, M., Rozanski, M., Waldschmidt, C., Weber, J., Wendt, M., Winter, B., Kellner, P., Baumann, A., Malzahn, U., Heuschmann, P., Fiebach, J., Endres, M., Audebert, H.: PHANTOM-S: the prehospital acute neurological therapy and optimization of medical care in stroke patients - study. International Journal of Stroke (February 2, 2012)
Fassbender, K., Walter, S., Liu, Y., Muehlhauser, F., Ragoschke, A., Kuehl, S., Mielke, O.: Mobile Stroke Unit for Hyperacute Stroke Treatment. Stroke 34(6), 44e (2003)
Forrester, J.W.: Industrial Dynamics. Pegasus Communications, Waltham and MA (1964)
Geiger-Gritsch, S.: Horizon Scanning in Oncology: Concept Development for the Preparation of a Horizon Scanning System in Austria. Ludwig Boltzmann Institute for Health Technology Assessment. (2008)
Goodman, C.S.: HTA 101: Introduction to Health Technology Assessment. National Information Center on Health Services Research and Health Care Technology (NICHSR). The Lewin Group (2004)
Heath, S.K., Brailsford, S.C., Buss, A., Macal, C.M.: Cross-paradigm simulation modeling: challenges and successes. In: Proceedings of the 2011 Winter Simulation Conference, pp. 2788–2802 (2011)
Heuschmann, P., Busse, O., Wagner, M., Endres, M., Villringer, A., Röther, J., Kolominsky-Rabas, P., Berger, K.: Frequency and Care of Stroke in Germany. Aktuelle Neurologie 37(07), 333–340 (2010)
Kjellström, T., Norrving, B., Shatchkute, A.: Helsingborg Declaration 2006 on European Stroke Strategies. Cerebrovascular Diseases 23(2-3), 229–241 (2007)
Kolominsky-Rabas, P.L., Heuschmann, P., Marschall, D., Emmert, M., Baltzer, N., Neundoerfer, B., Schöffski, O., Krobot, K.J.: Lifetime Cost of Ischemic Stroke in Germany: Results and National Projections From a Population-Based Stroke Registry: The Erlangen Stroke Project. Stroke 37(5), 1179–1183 (2006)
Kotiadis, K., Robinson, S.: Conceptual modelling: Knowledge acquisition and model abstraction. In: Proceedings of the 2008 Winter Simulation Conference, pp. 951–958 (2008)
Kuehn, A., Grunwald, I.: Das Konzept der Mobilen Stroke Unit (MSU). Der Radiologe 51(4), 261–262 (2011)
Pietzsch, J.B., Paté-Cornell, M.E.: Early technology assessment of new medical devices. International Journal of Technology Assessment in Health Care 24(01), 36–44 (2008)
Purrucker, J., Veltkamp, R.: Thrombolysis Beyond the 3-h Time Window. Aktuelle Neurologie 38(09), 494–504 (2011)
Robinson, S.: Choosing the right model: Conceptual modeling for simulation. In: Proceedings of the 2011 Winter Simulation Conference, pp. 1428–1440 (2011)
Walter, S., Kostpopoulos, P., Haass, A., Helwig, S., Keller, I., Licina, T., Schlechtriemen, T., Roth, C., Papanagiotou, P., Zimmer, A., Vierra, J., Körner, H., Schmidt, K., Romann, M.S., Alexandrou, M., Yilmaz, U., Grunwald, I., Kubulus, D., Lesmeister, M., Ziegeler, S., Pattar, A., Golinski, M., Liu, Y., Volk, T., Bertsch, T., Reith, W., Fassbender, K., Noor, A.M.: Bringing the Hospital to the Patient: First Treatment of Stroke Patients at the Emergency Site. PLoS One 5(10), e13758 (2010)
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Djanatliev, A., Kolominsky-Rabas, P., Hofmann, B.M., Aisenbrey, A., German, R. (2014). System Dynamics and Agent-Based Simulation for Prospective Health Technology Assessments. In: Obaidat, M., Filipe, J., Kacprzyk, J., Pina, N. (eds) Simulation and Modeling Methodologies, Technologies and Applications. Advances in Intelligent Systems and Computing, vol 256. Springer, Cham. https://doi.org/10.1007/978-3-319-03581-9_6
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DOI: https://doi.org/10.1007/978-3-319-03581-9_6
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